Speaker: Professor Federico Rosei
Date: November 16, 2023
Time: 11:00 AM - 12:00 PM
Location: Faculty Hall PSE 7303
Speaker: Dr. Sudipto Chakraborty, IBM T.J. Watson Research Center
Date: Tuesday, September 26
Time: 1:00pm - 2:00pm
Location: EIT-3142
Speaker: Dr. Sharvil Patil from Analog Devices, Inc., Toronto
Date: Wednesday, September 27, 2023
Time: 1:30 pm- 2:30pm
This seminar will be offered in-person and online.
Location (to attend in-person): EIT 3142.
Online: please register for the seminar at: https://uwaterloo.zoom.us/webinar/register/WN_EYjZRlCNSzuG-wOiTPuptw
After registering, you will receive a confirmation email containing information about joining the webinar.
You are invited by the Department of Electrical and Computer Engineering and the IEEE Electronics Packaging Society (EPS) Student Chapter at University of Waterloo to attend a distinguished lecture:
Speaker: Professor John A. Rogers, McCormick School of Engineering, Northwestern University
Date: September 13, 2023
Time: 12:00pm
Location: PSE-7303/7363
Title: Generating High-Intensity, Ultrashort Optical Pulses
Date: January 26, 2023
Time: 2:30pm
Location: PSE 7303/PSE 7363
Title: Optimization of DSP-Based Optical Communication Links Beyond 100Gbps
Speaker: Tony Chan Carusone, Professor, University of Toronto and Chief Technology Officer, Alphawave IP Group
Date: November 25, 2022
Time: 11:00am
Date: June 24, 2022
Time: 10:00am
Location: in person, EIT 3142
Date: September 23, 2021
Time: 10:00am
Register for the webinar at: https://uwaterloo.zoom.us/webinar/register/WN_-UttZd51Qji2BYJYF0Whpg
Join us for an engaging Ask-Me-Anything session with University of Waterloo graduate, Conrad School alumni, and CEO & Founder of Lunaria Solutions, Cassie Myers. Cassie is an inclusion and equity advocate, who was recently recognized as a Top 50 Changemakers by Globe and Mail.
A brief review will be provided first on how deep learning has disrupted speech recognition and language processing industries since 2009. Then connections will be drawn between the techniques (deep learning or otherwise) for modeling speech and language and those for financial markets. Similarities and differences of these two fields will be explored.